Using Artificial Neural Networks for Predicting Ship Fuel Consumption Cover

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Using Artificial Neural Networks for Predicting Ship Fuel Consumption

Polish Maritime Research

Volume 30 (2023): Issue 2 (June 2023)

By: Van Giao Nguyen, Sakthivel Rajamohan , Krzysztof Rudzki , Janusz Kozak , Prabhakar Sharma , Nguyen Dang Khoa Pham, Phuoc Quy Phong Nguyen and Phuong Nguyen Xuan

Open Access

|Jul 2023

Authors

Van Giao Nguyen

Institute of Engineering, HUTECH University, Ho Chi Minh City, Viet Nam

Sakthivel Rajamohan

Department of Mechanical Engineering, Amrita School of Engineering, India

Krzysztof Rudzki

Gdynia Maritime University, Faculty of Marine Engineering, Poland

Janusz Kozak

Gdansk University of Technology, Poland

Prabhakar Sharma

prabhakar.sharma@dseu.ac.in

Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, India

Nguyen Dang Khoa Pham

PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam

Phuoc Quy Phong Nguyen

PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam

Phuong Nguyen Xuan

phuong@ut.edu.vn

PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam

DOI: https://doi.org/10.2478/pomr-2023-0020 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585

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Language: English

Page range: 39 - 60

Published on: Jul 21, 2023

Published by: Gdansk University of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Artificial Neural Networks,

Fuel management,

Ship fuel consumption,

Energy efficiencys

Related subjects:

Introductions and overviews,

Engineering, other,

Atmospheric science and climatology,

Life sciences, other

© 2023 Van Giao Nguyen, Sakthivel Rajamohan, Krzysztof Rudzki, Janusz Kozak, Prabhakar Sharma, Nguyen Dang Khoa Pham, Phuoc Quy Phong Nguyen, Phuong Nguyen Xuan, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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